The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.
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Updated
Feb 10, 2019 - MATLAB
The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.
Inha Univ. Digital Communication System Capstone Design Practice/Project
Calculate and visualize the probability distribution of univariate or bivariate data directly from an Excel file using MATLAB.
The aim of this GUI is to aid in analysis of the Gaussian Wave-packet, so that it can be incorporated with main problems in quantum mechanics such that the solution resembles more of reality. The user may grasp the effects of certain Gaussian parameters on the wave-packet itself considering the equation is not intuitive.
Bias/Variance dilemma, cross-validation and work on Iris Data Set from UCI Machine Learning Repository
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